On the application of the parzen-type kernel regression neural network and order statistics for learning in a non-stationary environment

Authors:
Maciej Jaworski;Meng Joo Er;Lena Pietruczuk
Affiliations:
Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland;School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore;Department of Computer Engineering, Czestochowa University of Technology, Czestochowa, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

A problem of learning in non-stationary environment is solved by making use of order statistics in combination with the Parzen kernel-type regression neural network. Probabilistic properties of the algorithm are investigated and weak convergence is established. Experimental results are presented.